Agent Training & Fine-tuning

Learn how to train AI agents on your organizational data to improve accuracy and relevance of insights.

Overview

Agent training allows you to customize AI behavior using your organization's historical data, terminology, and preferences.

Training Methods

Feedback Training

Thumbs Up/Down: Rate agent outputs

Corrections: Provide corrected outputs

Examples: Supply ideal examples

Preferences: Indicate preferred styles

Data Training

Historical Data: Upload past data

Domain Knowledge: Add organizational context

Terminology: Define custom terms

Rules: Specify business rules

Behavioral Training

Tone Adjustment: Refine communication style

Priority Tuning: Adjust importance weights

Threshold Setting: Calibrate decision points

Output Format: Customize report formats

Training Process

Collect feedback over time

Review training dashboard

Submit training batches

Validate improvements

Deploy updated models

Best Practices

Provide consistent feedback

Use representative examples

Review training regularly

Monitor accuracy metrics

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Need help? Contact solstaff@soundoflife.media